Understanding social media users’ privacy-protection behaviors

Author:

Baker-Eveleth Lori,Stone Robert,Eveleth Daniel

Abstract

Purpose This study aims to identify the roles that privacy experiences and social media use play in influencing privacy-protection behaviors. As social media use expands in terms of the number of users and functionality; it is important to understand social media user privacy-protection behaviors and the users’ psychological underpinnings driving those behaviors. Among these, perceptions are the users’ evaluation of their privacy concerns and data sharing benefits inherent in social media use which influence the users’ behaviors to protect their privacy. Design/methodology/approach To research these issues, a theoretical model and hypotheses were developed, based on self-efficacy theory. The theoretical model was empirically tested using 193 questionnaire responses collected from students enrolled in business courses at a medium-sized university in the western USA. All the respondents reported that they routinely use social media. The empirical analysis was performed using structural equations modeling in PC SAS version 9.4, procedure Calis. Findings The estimation of the paths in the structural model indicates that privacy concerns positively influence social media users’ protection behaviors while the perceived benefits of data sharing negatively influence protection behaviors. Privacy experience positively influences privacy concerns. Alternatively, social media use positively influences social media self-efficacy and perceived usefulness, which, in turn, have meaningful influences on data sharing benefits. Originality/value Previous findings about the effect of self-efficacy on protection behaviors has been inconclusive. This study adds some clarity. Specifically, the findings suggest that the effect depends upon the foci of self-efficacy. While higher self-efficacy with respect to using privacy-related features of a specific technology tends to lead to greater privacy concerns, higher self-efficacy with respect to the more general technology (e.g. social media, computer) seems to affect protection behaviors through perceived benefits. Further, the results of this study offer conclusions about the roles that privacy experiences, social media use and perceived social media benefits play in affecting protection behaviors.

Publisher

Emerald

Subject

Management of Technology and Innovation,Information Systems and Management,Computer Networks and Communications,Information Systems,Software,Management Information Systems

Reference90 articles.

1. Users' information privacy concerns and privacy protection behaviors in social networks;Journal of Global Marketing,2018

2. Privacy concern and online transactions: the impact of internet self-efficacy and internet involvement;The Journal of Consumer Marketing,2014

3. Development of an integrated model for successful adoption of management information systems in Yemeni telecommunication organizations;International Journal of Scientific and Technology Research,2019

4. The digitization of healthcare: boundary risks, emotion, and consumer willingness to disclose personal health information;Information Systems Research,2011

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Social media users trust in their most frequently used social media site;Online Journal of Communication and Media Technologies;2024-10-01

2. The Ethics of Collaborating With Social Media Influencers;Advances in Marketing, Customer Relationship Management, and E-Services;2024-05-22

3. Mining Reddit users’ perspectives on cybersecurity competitions: a mixed method approach;Information & Computer Security;2024-04-23

4. Construction and Management of Doctor-Patient Privacy Protection System under Big Data Computing Environment;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

5. Improved clustering algorithm for personal privacy and security protection of elderly consumers;International Journal for Simulation and Multidisciplinary Design Optimization;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3